Seminar on Jan 15^th

^Morning

1.     Semi-Supervised Learning on Riemannian Manifolds(�ؿ�)

2.     A statistical framework for genomic data fusion(����)

3.     Forecasting Stock Prices Using a Hierarchical Bayesian Approach(����)

Afternoon

 Lecture on Support Vector Machine (by Professor. Shin.)

prerequisite: read the uploaded papers  thoroughly, as well as the tutorial of Support Vector Machine!!